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Increasing empirical attention has been given to the role of adverse childhood experiences (ACEs) in the development and maintenance of body dysmorphic disorder (BDD). Yet, current research has predominantly focused on adult and nonclinical BDD samples, and little is known about relevance of ACEs in adolescent BDD. The present study examined (a) the frequency of ACEs in adolescents with a primary diagnosis of BDD (n = 50) versus obsessive compulsive disorder (OCD) (n = 50) and (b) the clinical profile of ACE‐exposed youth with BDD. ACEs were ascertained through a systematic search of electronic patient records, as well as through a parent‐ and self‐report screening item for exposure to traumatic events. Results showed higher rate of peer victimisation (74% vs. 38%) and child maltreatment (44% vs. 24%) among BDD versus OCD youths; sexual abuse was the most common type of child maltreatment documented in the BDD group (28%) according to patient records. Parent‐reported exposure to traumatic events was also significantly higher in the BDD than the OCD group (40% vs. 18%, respectively). Clinical presentation and treatment outcomes did not differ between those with versus without a history of ACEs. The current study is the first to demonstrate that a range of ACEs are common in adolescent BDD. Our findings highlight the importance of screening for these experiences. Although further research is needed, our findings also indicate that adolescents with BDD who have a history of ACEs are broadly similar in their clinical presentation to those without, and benefit from BDD‐focused treatment. [ABSTRACT FROM AUTHOR]

The Appearance Anxiety Inventory (AAI) is a self-report measure assessing the typical cognitions and behaviours of body dysmorphic disorder (BDD). Despite its use in research and clinical settings, its psychometric properties have not been evaluated in young people with BDD. We examined the factor structure, reliability, validity, and sensitivity to change of the AAI in 182 youths with BDD (82.9% girls; Mage = 15.56, SD = 1.37) consecutively referred to two specialist outpatient clinics in Stockholm, Sweden (n = 97) and London, England (n = 85). An exploratory factor analysis identified three factors, namely "threat monitoring", "camouflaging", and "avoidance", explaining 48.15% of the variance. The scale showed good internal consistency (McDonalds omega = 0.83) and adequate convergent validity with the Yale-Brown Obsessive-Compulsive Scale Modified for Body Dysmorphic Disorder for Adolescents (BDD-YBOCS-A; rs = 0.42) and the Clinical Global Impression-Severity Scale (rs = 0.32). Sensitivity to change was adequate, with AAI total scores and individual factor scores significantly decreasing over time in the subgroup of participants receiving multimodal treatment for BDD (n = 79). Change of AAI scores over treatment showed a positive statistically significant moderate-to-good correlation (r = 0.55) with changes in BDD symptom severity, measured by the BDD-YBOCS-A. The study provides empirical support for the use of the AAI in young people with BDD in clinical settings. [ABSTRACT FROM AUTHOR]

Background: The association between weight and depressive symptoms is well established, but the direction of effects remains unclear. Most studies rely on body mass index (BMI) as the sole weight indicator, with few examining the aetiology of the association between weight indicators and depressive symptoms. Methods: We analysed data from the Twins Early Development Study (TEDS) and UK Adult Twin Registry (TwinsUK) (7658 and 2775 twin pairs, respectively). A phenotypic cross-lagged panel model assessed the directionality between BMI and depressive symptoms at ages 12, 16, and 21 years in TEDS. Bivariate correlations tested the phenotypic association between a range of weight indicators and depressive symptoms in TwinsUK. In both samples, structural equation modelling of twin data investigated genetic and environmental influences between weight indicators and depression. Sensitivity analyses included two-wave phenotypic cross-lagged panel models and the exclusion of those with a BMI <18.5. Results: Within TEDS, the relationship between BMI and depression was bidirectional between ages 12 and 16 with a stronger influence of earlier BMI on later depression. The associations were unidirectional thereafter with depression at 16 influencing BMI at 21. Small genetic correlations were found between BMI and depression at ages 16 and 21, but not at 12. Within TwinsUK, depression was weakly correlated with weight indicators; therefore, it was not possible to generate precise estimates of genetic or environmental correlations. Conclusions: The directionality of the relationship between BMI and depression appears to be developmentally sensitive. Further research with larger genetically informative samples is needed to estimate the aetiological influence on these associations. [ABSTRACT FROM AUTHOR]